156 citations · 618 across the 56 of their papers we have counts for
93 papers
Energy-Efficient Multi-Orchestrator Mobile Edge Learning
Mhd Saria Allahham, Sameh Sorour, Amr Mohamed +2
Mobile Edge Learning (MEL) is a collaborative learning paradigm that features distributed training of Machine Learning (ML) models over edge devices (e.g., IoT devices). In MEL, po…
Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey
Shah Zeb, Aamir Mahmood, Syed Ali Hassan +3
By amalgamating recent communication and control technologies, computing and data analytics techniques, and modular manufacturing, Industry~4.0 promotes integrating cyber-physical…
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene +3
The rapid increase in the percentage of chronic disease patients along with the recent pandemic pose immediate threats on healthcare expenditure and elevate causes of death. This c…
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed +4
Federated learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. I…
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
Emna Baccour, Fatima Haouari, Aiman Erbad +4
Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu and Twitch are gaining more momentum recently. Allocating the limited resources in a cost…
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
Mohammed Jouhari, Abdulla Al-Ali, Emna Baccour +4
Unmanned Aerial Vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, whi…